Youtubed activities
Jan 2026
21
Jan
Toward a privacy aware intrusion detection in Intelligent Transportation Systems
In Cooperative Intelligent Transportation Systems (C-ITS), the continuous exchange of large data volumes is critical for the effectiveness of applications, making the security of these [...]
14
Jan
Network acceleration for AI workloads
Network acceleration is critical for modern AI workloads, particularly in optimizing communication and data transfer among distributed GPUs. The network has emerged as a significant [...]
08
Jan
Multi-User Linearly-Decomposable Distributed Computing: Fundamental Limits and New Coded Architectures
This talk presents the main results of my PhD thesis, defended in 2024 at Sorbonne University, devoted to the theoretical study of multi-user distributed computation [...]
Dec 2025
10
Dec
LLM-Driven Scheduler Generation for Intent-Based RAN
The shift toward open, programmable O-RAN and AI-RAN 6G networks presents new opportunities for Intent-Based Networking (IBN) to dynamically optimize RAN operations. However, applying IBN [...]
03
Dec
High Speed Networking: From Kernel Bottlenecks to Line-Rate Packet Processing
Modern networked systems are moving from hardware into flexible, programmable platforms. Among the key enablers of this shift we list the Intel DPDK and the [...]
03
Dec
Fundamental Limits of Distributed Detection in the Low-Power Regime
In this talk we consider distributed detection systems (sensor networks) where the sensors are subject to stringent communication constraints, mostly stringent power or bandwidth constraints. [...]
Nov 2025
19
Nov
DDoS Attacks: Impacts, detection methods, and advanced strategies
Distributed Denial of Service (DDoS) attack detection remains a challenging problem in cybersecurity. In DDoS, a network of compromised devices is used to overwhelm a [...]
12
Nov
User-side Opportunistic Channel Charting & Location-Aware Access Point Selection
Channel Charting (CC) is a promising tool for managing radio resources, especially those tied to user location. Conventionally, CC involves a dimensionality reduction of channel [...]
05
Nov
RAN Automation using Reinforcement Learning: the cases of Mobility Robustness Optimization and MU-MIMO Frequency Scheduling
This talk will present the ongoing activities at Ericsson Research in Massy, France related to RAN automation. After a general presentation, we will discuss in [...]
Oct 2025
15
Oct
Multi-Agent Reinforcement Learning for URLLC Modern Random Access
Future wireless networks are expected to support a wide range of use cases with diverse requirements. Among these, Ultra-Reliable Low-Latency Communications (URLLC) stand out as [...]
